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Expressing Adaptation Strategies using Adaptation Patterns

Nadjet Zemirline 1, 2, 3 Yolaine Bourda 1 Chantal Reynaud 2, 3
3 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Today, there is a real challenge to enable personalized access to information. Several systems have been proposed to address this challenge including Adaptive Hypermedia Systems (AHSs). How- ever, the specification of adaptation strategies remains a difficult task for creators of such systems. In this paper, we consider the problem of the definition of adaptation strategies at a high level. We present two main contributions: a typology of elementary adaptation patterns for the adaptive navigation; and a process to generate adaptation strategies based on the use and the semi-automatic combination of patterns. We also describe how the generated adaptation strategies can be integrated into existing AHSs. A prototype has been implemented and an experiment in the e-learning domain has been conducted with a group of volunteers. This experiment shows that our pattern based approach for defining adaptation strategies is more suitable than those based on "traditional" AH languages.
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Submitted on : Tuesday, April 5, 2011 - 4:39:50 PM
Last modification on : Thursday, July 8, 2021 - 3:48:15 AM

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Nadjet Zemirline, Yolaine Bourda, Chantal Reynaud. Expressing Adaptation Strategies using Adaptation Patterns. IEEE Transactions on Learning Technologies, Institute of Electrical and Electronics Engineers, 2012, 5 (1), pp.38-51. ⟨10.1109/TLT.2011.15⟩. ⟨hal-00583450⟩



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